A multiobjective approach for non-discretionary variables in data envelopment analysis

Data Envelopment Analysis is a non-parametrical approach for efficiency evaluation of so-called DMUs (Decision Making Units) and takes into account multiple inputs and outputs. For each inefficient DMU, a target is provided which is constituted by the inputs or outputs levels that are to be attained for the inefficient DMU to become efficient. However, multiobjective models, known as MORO (Multiobjective Model for Ratio Optimization) provide a set of targets for inefficient DMU, which provides alternatives among which the decision-maker can choose. In this paper, we proposed an extension of the MORO models to take into account non-discretionary variables, i.e., variables that cannot be controlled. We present a numerical example to illustrate the proposed multiobjective model. We also discuss the characteristics of this model, as well as the advantages of offering a set of targets for the inefficient DMUs when there are non-discretionary variables in the data set.

• Autores: Angulo Meza, Lidia; Soares de Mello, João Carlos; Gomes Junior, Silvio
• Tipo de recurso: Article of journal
• Fecha de publicación: 2016
• Institución: Universidad Nacional de Colombia
• Repositorio: Universidad Nacional de Colombia
• Idioma: spa
• OAI Identifier: oai:repositorio.unal.edu.co:unal/60584
• Acceso en línea: https://repositorio.unal.edu.co/handle/unal/60584; http://bdigital.unal.edu.co/58916/
• Palabra clave: 62 Ingeniería y operaciones afines / Engineering; Análisis Envolvente de Datos; Modelos Multiobjetivo; Variables no-discrecionales; modelos no-radiales.
• Rights: openAccess
• License: Atribución-NoComercial 4.0 Internacional